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Digital twin design for real-time monitoring - a case study of die cutting machine

Wang, Kung-Jeng ; Lee, Ying-Hao ; Angelica, Septianda

International journal of production research, 2021-11, Vol.59 (21), p.6471-6485 [Periódico revisado por pares]

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Título:
Digital twin design for real-time monitoring - a case study of die cutting machine
Autor: Wang, Kung-Jeng ; Lee, Ying-Hao ; Angelica, Septianda
Assuntos: Dashboard system ; Dashboards ; Dies ; digital twin ; Digital twins ; Industrial applications ; Internet of Things ; machine monitoring ; Machine tools ; Materials handling ; Monitoring ; Real time ; smart manufacturing
É parte de: International journal of production research, 2021-11, Vol.59 (21), p.6471-6485
Descrição: Digital twin (DT) is a core technology that enables the integration among physical machines, tools, material handling and warehousing, and real-time manufacturing decisions. In this study, a DT framework is proposed for the real-time monitoring of conventional machines to connect isolated machines to an interconnected system and monitor machine conditions in real-time. We implement a DT for a die cutting machine. A dashboard-based mission centre is created to display the real-time condition of the machine. The mission centre is composed of three main functions: real-time machine monitoring, overall equipment effectiveness, and order scheduling. Compared with existing approaches with a barrier of high investment and/or high design complexity, this study proposes an economic DT framework composed of conventional machine structure but has a tolerable level of industrial Internet of things capability.
Editor: London: Taylor & Francis
Idioma: Inglês

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